| Contents |
Deep learning : fundamentals and beyond / Shruti Nagpal, Maneet Singh, Mayank Vatsa, and Richa Singh -- Unconstrained face identification and verification using deep convolutional features / Jun-Cheng Chen, Rajeev Ranjan, Vishal M. Patel, Carlos D. Castillo, and Rama Chellappa -- Deep Siamese convolutional neural networks for identical twins and look-alike identification / Xiaoxia Sun, Amirsina Torfi, and Nasser Nasrabadi -- Tackling the optimization and precision weakness of deep cascaded regression for facial key-point localization / Yuhang Wu, Shishir K. Shah, and Ioannis A. Kakadiaris -- Learning deep metrics for person re-identification / Hailin Shi, Shengcai Liao, Dong Yi, and Stan Z. Li -- Deep face representation learning for kinship verification / Naman Kohli, Daksha Yadav, Mayank Vatsa, Richa Singh, and Afzel Noore -- What's hiding in my deep features? / Ethan M. Rudd, Manuel Gunther, Akshay R. Dhamija, Faris A. Kateb, and Terrance E. Boult -- Stacked correlation filters / Jonathon M. Smereka, Vishnu Naresh Boddeti, and B.V.K. Vijaya Kumar -- Learning representations for unconstrained fingerprint recognition / Aakarsh Malhotra, Anush Sankaran, Mayank Vatsa, and Richa Singh -- Person identification using handwriting dynamics and convolutional neural networks / Gustavo H. Rosa, Joao P. Papa, and Walter J. Scheirer -- Counteracting presentation attacks in face, fingerprint and iris recognition / Allan Pinto, Helio Pedrini, Michael Krumdick, Benedict Becker, Adam Czajka, Kevin W. Bowyer, and Anderson Rocha -- Fingervein presentation attack detection using transferable features from deep convolution neural networks / Raghavendra Ramachandra, Kiran B Raja, Sushma Venkatesh, and Christoph Busch. |
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